Research Article
Spectrum Allocation Algorithm for Energy-Constrained UAV in Interweave Cognitive IoT Network Based on Satellite Coverage
@INPROCEEDINGS{10.1007/978-3-030-67514-1_49, author={Chao Ren and Huijie Xu}, title={Spectrum Allocation Algorithm for Energy-Constrained UAV in Interweave Cognitive IoT Network Based on Satellite Coverage}, proceedings={IoT as a Service. 6th EAI International Conference, IoTaaS 2020, Xi’an, China, November 19--20, 2020, Proceedings}, proceedings_a={IOTAAS}, year={2021}, month={1}, keywords={IoT UAV Satellite coverage SNR Spectrum allocation}, doi={10.1007/978-3-030-67514-1_49} }- Chao Ren
Huijie Xu
Year: 2021
Spectrum Allocation Algorithm for Energy-Constrained UAV in Interweave Cognitive IoT Network Based on Satellite Coverage
IOTAAS
Springer
DOI: 10.1007/978-3-030-67514-1_49
Abstract
Today, the internet of things (IoT) has become an inevitable trend in the development and integration of communication and information technology. The rapid increase of IoT terminals has led to scarcity of spectrum resources. Therefore, if cognitive radio (CR) technology can be added to IoT, it is bound to better meet the frequency requirements of the development of the IoT. In order to solve this problem, this paper uses unmanned aerial vehicles (UAVs) to access cognitive spectrum holes with CR in interweave cognitive IoT network. In the satellite coverage area, the UAV's GPS signal will be stronger. Therefore, this paper comprehensively considers the spectrum hole quality, UAV power limitation and satellite coverage issues, and proposes a spectrum allocation algorithm, which preferentially selects channels with high communication quality, and comprehensively considers UAV power control when implementing the algorithm. Simulation results show that the algorithm improves communication quality and spectrum allocation and realizes power control.
